Everyone's AI
Machine learningPlayground

Playground

Hands-on AI lab

Deep Learning

  • NN Classifier
  • Loss Landscape Lab

Machine Learning

  • KNN Neighbor Classifier

Reinforcement Learning

  • RL Agent

Computer Vision

  • Conv Vision

Transformer

  • Attention Playground

LLM Agents

  • Claude Agents
NN ClassifierLoss Landscape LabKNN Neighbor ClassifierRL AgentConv VisionAttention PlaygroundClaude Agents
Loading...

Playground

Claude Code multi-agent

Follow Claude Code as it receives your prompt, spawns subagents, and solves ML tasks with Read·Write·Bash·Glob tools!

Turn0/8
Control help

Toggle specialists in the subagent roster. ▶ Play lets Claude Code delegate via Task(); disabled roles halt the session.

User prompt

Which ML task should Claude Code handle?

Each scenario is an ML task Claude Code would tackle in a real repo. The orchestrator delegates via Task(subagent=...), and each agent invokes tools.

Prompt

Customer churn prediction

“We have telco customer records in telco_churn.csv. Build an XGBoost classifier and reach at least AUC 0.80 on validation.”

🎯 Deliver a validated churn model with AUC ≥ 0.80

✦All subagents are assumed to run inside a Claude Code session.

💡 Turn Code off, press ▶ Play — the session stops at Write train_*.py.

Task decomposition workbook

8 steps · subtasks per agent

Roadmap of how the orchestrator splits the user prompt into 8 subtasks and delegates via Task(). ▶ Play highlights the current turn.

Problem to solve

Customer churn prediction

Deliver a validated churn model with AUC ≥ 0.80

  1. 1🧭
    Orchestratororchestrator·Session plan

    Break the big problem into 8 subtasks

  2. 2📊
    Datadata-agent·Data retrieval

    Find the CSV dataset matching the request

  3. 3📊
    Datadata-agent·Preprocessing

    Build a trainable feature matrix

  4. 4🧠
    Modelmodel-agent·Model design

    Design a classifier suited to tabular data

  5. 5🧠
    Modelmodel-agent·HPO

    Find hyperparameters that maximize validation AUC

  6. 6💻
    Codecode-agent·Code generation

    Write a reproducible training script

  7. 7✅
    Verifyverify-agent·Verification

    Check AUC target and data leakage

  8. 8🚀
    Deploydeploy-agent·Deploy

    Save model artifact (deploy optional)

Subagent roster

Toggle spawnable specialists ON/OFF

✦Claude CodeClaude Code session

Orchestrator writes plans and delegates via Task(subagent=...) · each agent uses Read/Write/Bash/Glob tools

Active subagents 5/6

Subagents that the Claude Code orchestrator invokes via Task(). The orchestrator is always active; toggle the rest.

  • 🧭
    Orchestratororchestrator✦ClaudeRequired

    Spawn subagents via Task() · write .cursor/plan.md

    orchestrator · Task() spawn · .cursor/plan.md

    Always onOn
  • 📊
    Datadata-agent✦ClaudeRequired

    Glob/Read/Grep · Write/Bash preprocessing

    Explore with Glob/Read/Grep · preprocess with Write/Bash

    On
  • 🧠
    Modelmodel-agent✦ClaudeRequired

    Write/Edit configs · Bash HPO

    Write configs/*.yaml · HPO/tuning with Bash

    On
  • 💻
    Codecode-agent✦ClaudeRequired

    Write/Edit train/serve scripts

    Write/Edit train_*.py · serve_*.py

    On
  • ✅
    Verifyverify-agent✦ClaudeRequired

    Bash evaluation & audit · Read metrics

    Bash pytest/bench · Read metrics.json

    On
  • 🚀
    Deploydeploy-agent✦ClaudeOptional

    Write manifests · kubectl/curl Bash

    Write deploy/*.yaml · kubectl/curl Bash

    Off

Required for this scenario

  • 📊 Data ✓
  • 🧠 Model ✓
  • 💻 Code ✓
  • ✅ Verify ✓
  • 🚀 Deploy (Optional)

Session board

Click to toggle · turn progress

The horizontal track shows subagent delegation order in the Claude Code session. Click a role to toggle spawn targets; the session resets.

Claude Code session

·✦Claude Code

You can toggle subagents from both the roster and the session board.

Claude Code session log

Task delegation · tool use · context handoff

Each turn is subagent tool use. Inspect Glob/Read/Write/Bash calls and workspace context handoff.

▸Claude Code~/modudl-ml · Claude CodeOrchestrator writes plans and delegates via Task(subagent=...) · each agent uses Read/Write/Bash/Glob tools
👤

Customer churn prediction

We have telco customer records in telco_churn.csv. Build an XGBoost classifier and reach at least AUC 0.80 on validation.

🎯 Deliver a validated churn model with AUC ≥ 0.80

Session progress0%

Press ▶ Play to start the Claude Code session.

Session result

Did all required turns pass?

Active subagents

4

Total turns

8

Turns done

0

Required roles

4

Press ▶ Play or Step to run the Claude Code session.

Related lessons

  • RAG: Reducing Hallucinations with Retrieval
  • LLM Agents: Models That Use Tools
  • Advanced DL: Large Models and Generative AI Paradigm